Brigham Young University Planning Grant: I/UCRC for Center for Visual and Decision Informatics

杨百翰大学规划资助：I/UCRC 视觉与决策信息学中心

• 批准号: 1650579
• 负责人: Christophe Giraud-Carrier
• 金额: $ 1.4万
• 依托单位: Brigham Young University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-02-01 至 2018-01-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1650579&HistoricalAwards=false
• 关键词: Brigham; Young; University; Planning; Grant

This award seeks to assist Brigham Young University (BYU) in joining the Center for Visual and Decision Informatics (CVDI), an existing Industry University Cooperative Research Center (IUCRC). The CVDI Center is currently made up of the University of Louisiana at Lafayette, Drexel University, and Tampere University of Technology. BYU will use this award to plan and prepare for the establishment of the new site by hosting informational meetings for potential partners about the benefits of membership in CVDI and the mechanics of the Center, attend the scheduled CVDI's Industry Advisory Board meeting in April 2017, and prepare a joint industry and university research agenda around the expertise of the site and the needs/interests of industry partners. BYU will leverage its big data capstone class, where industry partners pitch their projects to the students who then vote on their preferred projects and form groups that are mentored throughout by company personnel. Through external partners' mentoring, students are exposed to the realities of data analytics and gain experience and skills that cannot be found in a strictly academic setting. This, in turn, can prepare students for the workforce and improves their ability to be effective contributors to science and engineering.

该奖项旨在协助杨百翰大学 (BYU) 加入视觉与决策信息学中心 (CVDI)，即现有的工业大学合作研究中心 (IUCRC)。 CVDI 中心目前由路易斯安那大学拉斐特分校、德雷塞尔大学和坦佩雷理工大学组成。杨百翰大学将利用该奖项来规划和准备新站点的建立，为潜在合作伙伴举办信息会议，介绍 CVDI 会员的好处和中心的机制，参加预定于 2017 年 4 月举行的 CVDI 行业顾问委员会会议，以及围绕现场的专业知识和行业合作伙伴的需求/兴趣制定行业和大学联合研究议程。杨百翰大学将利用其大数据顶点课程，行业合作伙伴向学生推销他们的项目，然后学生对他们喜欢的项目进行投票，并组成由公司人员全程指导的小组。通过外部合作伙伴的指导，学生可以接触到数据分析的现实，并获得在严格的学术环境中无法获得的经验和技能。反过来，这可以帮助学生为就业做好准备，并提高他们成为科学和工程有效贡献者的能力。